A Systematic Statistical Survey of 1,522 Pulsars : Identifying Magnetospheric and Density Anomalies via Z-Score Filtering.

This independent survey utilizes the ATNF Pulsar Catalogue (v2.70) to map physical anomalies across 1,522 pulsars. By establishing a mathematical baseline (R^2=1.0) and applying a Z-score filtering framework,the study identifies high-sigma outliers, including an 11.41-sigma Alpha candidate (J0952-0607).The Results demonstrate a scalable , automated framework for prioritizing relativistic targets in large-scale astrophysical datbases like the Square Kilometre Array (SKA).

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-05
DOI
https://doi.org/10.5281/zenodo.18877589
Primary Topic
Pulsars and Gravitational Waves Research
Type
article
Field-Weighted Citation Impact
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article

A Systematic Statistical Survey of 1,522 Pulsars : Identifying Magnetospheric and Density Anomalies via Z-Score Filtering.

Anubhuti Kaushal
Zenodo (CERN European Organization for Nuclear Research)
Pulsars and Gravitational Waves Research
article

A Systematic Statistical Survey of 1,522 Pulsars : Identifying Magnetospheric and Density Anomalies via Z-Score Filtering.

Anubhuti Kaushal
article en

Abstract

This independent survey utilizes the ATNF Pulsar Catalogue (v2.70) to map physical anomalies across 1,522 pulsars. By establishing a mathematical baseline (R^2=1.0) and applying a Z-score filtering framework,the study identifies high-sigma outliers, including an 11.41-sigma Alpha candidate (J0952-0607).The Results demonstrate a scalable , automated framework for prioritizing relativistic targets in large-scale astrophysical datbases like the Square Kilometre Array (SKA).

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 35%
Pulsars and Gravitational Waves Research
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A Systematic Statistical Survey of 1,522 Pulsars : Identifying Magnetospheric and Density Anomalies via Z-Score Filtering. — Anubhuti Kaushal · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS